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An introduction to approximate computing [article]

M. Ammar Ben Khadra
2017 arXiv   pre-print
In this work, we provide a general introduction to approximate computing. Also, we propose a taxonomy to make it easier to discuss the merits of different approximation techniques.  ...  Approximate computing is a research area where we investigate a wide spectrum of techniques to trade off computation accuracy for better performance or energy consumption.  ...  A taxonomy of approximate computing The literature on approximate computing is large and growing.  ... 
arXiv:1711.06115v2 fatcat:lylbbog22bgjlbgleygbrwu4ye

Multi-Faceted Hierarchical Image Segmentation Taxonomy ( MFHIST)

Tilottama Goswami, Arun Agarwal, C Raghavendra Rao
2021 IEEE Access  
The paper proposes a unified way of systematic categorization of the research work on image segmentation called Multi-Faceted Hierarchical Image Segmentation Taxonomy (MFHIST), which consist of six facets  ...  An abundance of various segmentation techniques are available in the literature, that cater to wide range of image understanding applications.  ...  Shi and Malik [68] use eigenvector based approximations for efficient computational technique.  ... 
doi:10.1109/access.2021.3055678 fatcat:r3aaee4vrbgqhdzlb6qc5vkefy

Taxonomy of nature inspired computational intelligence: A remote sensing perspective

Lavika Goel, Daya Gupta, V. K. Panchal, Ajith Abraham
2012 2012 Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC)  
We also construct a technology timeline of these recent nature inspired CI techniques.  ...  intelligence techniques and the emerging geo-sciences based intelligent techniques can be considered as the four pillars of nature inspired CI techniques and hence redefines and extends the taxonomy of  ...  Figure 2 : 2 Proposed Taxonomy of Nature Inspired Computational Intelligence Techniques Figure 3 : 3 Technology Timeline of Nature Inspired CI Techniques in Remote Sensing Table I : I Taxonomy of nature  ... 
doi:10.1109/nabic.2012.6402262 dblp:conf/nabic/GoelGPA12 fatcat:hkqubjcucjecdbdzzfyi4b4dnq

Applications of Data Mining Techniques for Vehicular Ad hoc Networks [article]

Mohammed AL Zamil, Samer Samarah
2018 arXiv   pre-print
In this paper, we have proposed taxonomy of data mining techniques that have been applied in this domain in addition to a classification of these techniques.  ...  The proposed taxonomy covers elementary data mining techniques such as: preprocessing, outlier detection, clustering, and classification of data.  ...  Taxonomy of Surveyed Techniques This section introduces our taxonomy for current techniques that have been proposed for mining data generated by VANETs.  ... 
arXiv:1807.02564v1 fatcat:6yqvnp3stvhnpbehi4m7t6ghfm

A taxonomy of scheduling in general-purpose distributed computing systems

T.L. Casavant, J.G. Kuhl
1988 IEEE Transactions on Software Engineering  
One measure of usefulness of a general-purpose distributed computing system is the system's ability to provide a level of performance commensurate to the degree of multiplicity of resources present in  ...  As an illustration of the usefulness of the taxonomy an annotated bibliography is given which classifies a large number of distributed scheduling approaches according to the taxonomy.  ...  Principles of Distributed Computing, Aug. 1982, pp. 73-83.  ... 
doi:10.1109/32.4634 fatcat:5wnsoxpghreijezx32fyxc7k7e

Do we teach the right algorithm design techniques?

Anany Levitin
1999 The proceedings of the thirtieth SIGCSE technical symposium on Computer science education - SIGCSE '99  
A variety of examples from different areas of computing are used to demonstrate the power and flexibility of the taxonomy being proposed.  ...  The paper points out these shortcomings, reevaluates some of the techniques, and proposes a new, hierarchical classification scheme by grouping techniques according to their level of generality.  ...  This widely accepted taxonomy has serious shortcoming, however. First, it includes techniques of different levels of generality.  ... 
doi:10.1145/299649.299747 dblp:conf/sigcse/Levitin99 fatcat:qlrefttdgraopnu5pml3aozoue

Learning to match ontologies on the Semantic Web

AnHai Doan, Jayant Madhavan, Robin Dhamankar, Pedro Domingos, Alon Halevy
2003 The VLDB journal  
We describe GLUE, a system that employs machine learning techniques to find such mappings.  ...  Another key feature of GLUE is that it uses multiple learning strategies, each of which exploits well a different type of information either in the data instances or in the taxonomic structure of the ontologies  ...  Under certain general assumptions (discussed in Section 5), a term such as È´ µ can be approximated as the fraction of data instances (in the data associated with the taxonomies or, more generally, in  ... 
doi:10.1007/s00778-003-0104-2 fatcat:wn2zdc2msnfg5b66ki2pdzgb2y

A Generative Programming Approach to Interactive Information Retrieval:Insights and Experiences [chapter]

Saverio Perugini, Naren Ramakrishnan
2005 Lecture Notes in Computer Science  
We illustrate how studying outof-turn interaction through a generative lens leads to several valuable insights: (i) the concept of a web dialog, (ii) an improved understanding of web taxonomies, and (iii  ...  We describe the application of generative programming to a problem in interactive information retrieval.  ...  New Web Interaction Techniques and Interfaces User Interfaces for Approximate Interactive IR Approximate retrieval in a web taxonomy, introduced above, is important because, by exposing term relationships  ... 
doi:10.1007/11561347_15 fatcat:7pd3szzofbdyfo5vufe2b3v7gq

TIE algorithm: a layer over clustering-based taxonomy generation for handling evolving data

Rabia Irfan, Sharifullah Khan, Kashif Rajpoot, Ali Mustafa Qamar
2018 Frontiers of Information Technology & Electronic Engineering  
A text data set of scholarly articles selected from computing domain was used for evaluation purpose.  ...  Initial taxonomy generation Since the main purpose was to check the improvement of evolution over regeneration rather than the improvement in taxonomy generation process, therefore we adopted a simple  ... 
doi:10.1631/fitee.1700517 fatcat:xxjknsd27rgevl23ngg3t2334a

Do we teach the right algorithm design techniques?

Anany Levitin
1999 ACM SIGCSE Bulletin  
A variety of examples from different areas of computing are used to demonstrate the power and flexibility of the taxonomy being proposed.  ...  The paper points out these shortcomings, reevaluates some of the techniques, and proposes a new, hierarchical classification scheme by grouping techniques according to their level of generality.  ...  This widely accepted taxonomy has serious shortcoming, however. First, it includes techniques of different levels of generality.  ... 
doi:10.1145/384266.299747 fatcat:r6jpqt7o55d7xf3xlnl5gg5rxe

Coupling soft computing, simulation and optimization in supply chain applications: review and taxonomy

Hanane El Raoui, Mustapha Oudani, Ahmed El Hilali Alaoui
2020 IEEE Access  
A review and taxonomy were performed to give an overview of the broad field of optimization/simulation approaches applied to solve supply chain problems.  ...  In this paper we explore the near-full spectrum of optimization methods and simulation techniques.  ...  For this type of SO hybridization, a wide range of optimization techniques can be used, as presented in the taxonomy figure 4 .  ... 
doi:10.1109/access.2020.2973329 fatcat:lqlghzdqafd4zksd7ziwrvdjou

Automatic Taxonomy Construction from Keywords via Scalable Bayesian Rose Trees

Yangqiu Song, Shixia Liu, Xueqing Liu, Haixun Wang
2015 IEEE Transactions on Knowledge and Data Engineering  
To this end, we first use a general-purpose knowledgebase and keyword search to supply the required knowledge and context.  ...  In this paper, we study a challenging problem of deriving a taxonomy from a set of keyword phrases.  ...  ACKNOWLEDGEMENTS We would like to thank Charles Blundell and Yee Whye Teh for their help on the implementation of the Bayesian rose tree and thanks to Ting Liu for help on the implementation of Spilltree  ... 
doi:10.1109/tkde.2015.2397432 fatcat:qcxwfsed3vgwroyklu6h5ip2ma

Page 182 of The Journal of Industrial Engineering Vol. 18, Issue 2 [page]

1967 The Journal of Industrial Engineering  
a given set of these general properties.  ...  The purpose of this dissertation is to emphasize the close relationship between general systems properties such as linearity, time variance, discreteness, memory, and the class of systems generated by  ... 

Optimizing index for taxonomy keyword search

Bolin Ding, Haixun Wang, Ruoming Jin, Jiawei Han, Zhongyuan Wang
2012 Proceedings of the 2012 international conference on Management of Data - SIGMOD '12  
In this paper, we study how to efficiently process a keyword query whose substitutes are defined by a given taxonomy.  ...  We show the NP-hardness of the problem, and propose a pseudo-polynomial time algorithm using dynamic programming, as well as an 1 4 (1 − 1/e)-approximation algorithm to solve the problem.  ...  Our techniques take i) a taxonomy (T , ), ii) a query log Q, and iii) a collection of documents D as the input, for the purpose of index optimization (i.e., selecting the term set P for materializing result  ... 
doi:10.1145/2213836.2213892 dblp:conf/sigmod/DingWJHW12 fatcat:6p4fqihqxve3jhsqps2lbcy4oa

A taxonomy of localization techniques based on multidimensional scaling

Biljana Risteska Stojkoska
2016 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)  
Since its appearance in 2003, many variations of MDS-MAP have been proposed in the literature. This paper aims to provide a comprehensive survey of the localization techniques that are based on MDS.  ...  Localization in Wireless Sensor Networks (WSNs) has been a challenging problem in the last decade. The most explored approaches for this purpose are based on multidimensional scaling (MDS) technique.  ...  TAXONOMY FEATURES OF MDS-BASED TECHNIQUES We identify five taxonomy features of localization techniques based on multidimensional scaling ( Fig.2) : A.  ... 
doi:10.1109/mipro.2016.7522221 dblp:conf/mipro/Stojkoska16 fatcat:jksnckhhindvnckw4izt3ts7oi
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